Two-stage data encryption using chaotic neural networks

Securing a wireless sensor system is a hard task for researchers today. Strengthening the authentication system before connection establishment is the right way to enhance the architecture and also to provide secured communication from eavesdroppers. In this paper, we present a novel algorithm to en...

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Bibliographic Details
Published in:Journal of intelligent & fuzzy systems 2020-01, Vol.38 (3), p.2561-2568
Main Authors: Srivastava, Gautam, Vinoth Kumar, C.N.S., Kavitha, V., Parthiban, N., Venkataraman, Revathi
Format: Article
Language:English
Subjects:
Algorithms
Computing time
Data encryption
Eavesdropping
Encryption
Neural networks
Security
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Summary:Securing a wireless sensor system is a hard task for researchers today. Strengthening the authentication system before connection establishment is the right way to enhance the architecture and also to provide secured communication from eavesdroppers. In this paper, we present a novel algorithm to enhance the security of data using a hybrid model which uses an adaptive encoding technique alongside Chaotic Hopfield Neural Network. The proposed computation upgrades the security of a key shared between any nodes. Our experimental results show that the security of transmitted data is better than traditional algorithms. Moreover, we also show that the computational time for the proposed algorithm is less than known traditional algorithms.
ISSN:1064-1246
1875-8967
DOI:10.3233/JIFS-179543